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Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images
Coronary artery disease is caused primarily by vessel narrowing. Extraction of the coronary artery area from images is the preferred procedure for diagnosing coronary diseases. In this study, a U-Net-based network architecture, 3D Dense-U-Net, was adopted to perform fully automatic segmentation of t...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8280179/ https://ncbi.nlm.nih.gov/pubmed/34262118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-93889-z |
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